Detalhes bibliográficos
Ano de defesa: |
2011 |
Autor(a) principal: |
Correia, Jone dos Santos Sodré
 |
Orientador(a): |
GIRARDI, Rosario
 |
Banca de defesa: |
Cortes, Omar Andres Carmona
,
Silva, Francisco José da Silva e |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal do Maranhão
|
Programa de Pós-Graduação: |
PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE ELETRICIDADE/CCET
|
Departamento: |
Engenharia
|
País: |
BR
|
Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://tedebc.ufma.br:8080/jspui/handle/tede/466
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Resumo: |
Ontologies are an approach for knowledge representation capable of expressing a set of entities and their relationships, constraints, axioms and vocabulary of a given domain. Manual construction of ontologies by domain experts and knowledge engineers is an expensive and time consuming task so, automatic and/or semi-automatic approaches are needed. Ontology Learning looks for automatically or semi-automatically identifying ontology elements like classes, taxonomic and non-taxonomic relationships, properties and axioms from textual resources. This work proposes a process for automatic learning of ontologies from text focusing on the application of natural language processing techniques to acquire taxonomic relationships. Some experiments using a legal corpus were conducted in order to evaluate it. Initial results are promising. |